Robust optic flow estimation using least median of squares

Author

Bab-Hadiashar, Alireza ; Suter, David

Author_Institution

Intelligent Robotics Res. Centre, Monash Univ., Clayton, Vic., Australia

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

513

Abstract

A new approach to optic flow calculation, based on a highly robust statistical technique, is presented. In this algorithm, the optic flow problem is first formulated as a standard least squares problem. Then, its associated closest point problem is introduced and the transformation which takes this problem to a standard regression problem is provided. The least median of squares technique is used to solve the resulting regression problem. Some experimental results for both synthetic and real image sequences are also presented

Keywords

image sequences; least mean squares methods; motion estimation; statistical analysis; algorithm; closest point problem; experimental results; least median of squares; real image sequences; robust optic flow estimation; robust statistical technique; standard least squares problem; standard regression problem; synthetic image sequences; transformation; Brightness; Equations; Image motion analysis; Image sequences; Intelligent robots; Optical computing; Optical noise; Optical sensors; Robustness; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.559546

Filename

559546